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ETL Consultant

Cogent Infotech.

This is a Full-time position in Atlanta, GA posted November 13, 2021.

Why Cogent for Data Analytics

· No upfront cost to attend learning programs / a market value of over $25K and guaranteed job placement

· 100% Virtual

  • Everyday classes and sessions

· Industry leading trainers with Fortune 500 experience

· Dedicated Post-Training support including: Resume Prep, Interview preparation and job placement.

· Dedicated Team focused on identifying your dream job. You will spend ZERO time worrying about searching and applying for jobs.

· Access to our Cutting-Edge Learning Management System (LMS) providing you 24/7 access to all course related material

· Access to our popular ‘Employer Showcase’ sessions providing you access to exclusive information about the Data industry from employers across the US.

· Train alongside like-minded individuals and form long-lasting relationships

· An opportunity to work on internal Data Analytic projects via our InCights Division

· Industry leading compensation, performance bonus and profit sharing

What you will learn

· Key strategic thinking and problem-solving skills enabling you to communicate data so that all key Stakeholders can understand.

· Tableau Visualizations for Analytics Presentations and Data Understanding

· Framing Business Problems and Structuring the approach

· Data Wrangling by understanding Extract Transform and Load Concepts

· Mathematical and Statistical Foundations of solving business problems

· Communicating the Analysis and building a Compelling story

· Using Python & Excel for Financial Modelling

· In depth technical skills through capstone projects


· Bachelor’s degree (Any Major)

· Highly interested in pursuing a career in Data

· Understanding of High School Level Math

· Strong Critical thinking and Problem-Solving Skills

· Good Communication, Collaboration and Presentation Skills

· Organization skills and attention to detail

· Willingness to learn entry level programming skills in Python

· Eligible to be employed anywhere in the US

Preferred Skills – Not Mandatory Requirement

· Previous experience working in a data related job

· Completed Collegiate Coursework in: Statistics, Mathematics or Data Science related

· Courses

· 1-2 years of professional experience working regularly with Microsoft Office, G-Suite, Design or programming tools

Who Should Apply

· Recent College graduates who want to pursue a data-oriented career

· Candidates that want to change their career path and pursue a data-oriented career

Candidates who may want to pursue a Data Scientist career in the future

Job Requirements:

  • Develop and implement statistical predictive models and machine learning algorithms
  • Develop predictive models and machine learning algorithms using advanced methodologies
  • Develop statistical learning models for data analysis
  • Design and develop data mining and machine learning models and algorithms
  • Using machine learning and statistical techniques
  • Develop statistical models for data analysis
  • Demonstrate an advanced understanding of data mining, predictive analytics, machine learning and data visualization
  • Support analytics and machine learning model development
  • Implement data driven business solutions using advanced statistical methods and machine learning techniques
  • Clean and explore data and implement statistical/machine learning models
  • Create machine learning data models that develop new insights over time
  • Providing advanced predictive data analytics using big data and data science technology for healthcare innovation
  • Generate analytics on big data
  • Solve statistical, machine learning, analytical and data mining problems
  • Leverage statistical data modeling, data mining and machine learning techniques to provide solutions to new business problems
  • Deploy predictive models and/or machine learning algorithms on large static and/or streaming data sets
  • Optimizing classifiers using machine learning techniques
  • Building the coolest machine data analytics systems
  • Using various types of algorithms and machine learning modeling techniques
  • Define and develop machine learning and data mining strategies

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